Review Article
Performance Evaluation of Onboard Processing Capability Reduction in Cooperative Vehicles Using 5G and Artificial Intelligence
Table 3
Summary of the key parameters of our algorithms proposed in previous works [
57,
71].
| Parameters | Architecture | First | Second |
| Hidden layers | 2 | Hidden layer neurons | 526 | Dropout | 0.2 | Replay memories | 100000 | Mini batch size | 96 | Update target | Soft mode | Optimizer | RMSProp | Loss | MSE | End of episode | 500 steps | | 0.0025 | Output layer neurons | 6 | 5 | Input layer neurons | 28 | 28–30 | Policy-based RL | DDQL | DDPG |
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